Systems | Development | Analytics | API | Testing

Appian for Payment Investigations

With the Appian Platform, banks can automate and manage payment investigation processes, from queries to payment failures to reconciliation exceptions and compensation processing. With simple customization, faster delivery, and a future-proofed upgrade path—Appian’s AI process automation platform revolutionizes payment investigations. Watch the demo to learn more about how Appian can make your payment processes seamless.

Teamwork Drives Early Bug Detection

Is catching bugs before production really possible? @Saurabh Shanbhag from @DoorDash shares insights on how minimizing bugs is a team effort and not just the responsibility of engineers or QA testers. Collaboration across roles is key to ensuring product reliability. Here’s how teams can prevent issues before launch: Watch this episode of Test Case Scenario to learn more about bug prevention strategies that actually work.

Episode 11: The future of data lakes: Open table formats, metadata and AI | AWS

Paul Meighan, Director of Product Management at AWS, shares how enterprises are increasingly looking for ways to integrate more data sources in their environment — especially with data lakes. From turning S3 buckets into databases to establishing better metadata layers, Meighan explores the rapid evolution of data lakes alongside data warehouses. He also explains the pivotal role AI, ML and GenAI workloads and applications will play in large metadata environments, driving innovative analytics and business insights.

Intro to Service Catalog | Kong Konnect

In this video, Miko Bautista, Staff Product Manager at Kong, introduces the Kong Konnect Service Catalog, your ultimate system of record for managing and discovering all the services and APIs running in your infrastructure. The Kong Konnect Service Catalog helps platform teams gain comprehensive visibility into their entire service ecosystem, whether APIs are powered by Kong Gateway or external systems like AWS API Gateway, Kubernetes, or serverless architectures.

Building Reliable Software Systems with DoorDash's Saurabh Shanbhag

How do you ensure your software system is reliable from design to deployment? In this episode of Test Case Scenario, Jason Baum and Evelyn Coleman sit down with Saurabh Shanbhag, Software Engineer at DoorDash, to discuss the best approaches for preventing bugs and building reliable systems. Saurabh draws on his experience from Amazon, Uber, and DoorDash to explain how teams can focus on strong initial design, thorough testing, and smart monitoring to keep systems running smoothly.

Why Real-Time Data is Crucial to Developing Generative AI Models

Learn how GEP, an AI-powered supply chain and procurement company, harnesses real-time data streaming through Confluent Cloud to fuel its generative AI solutions. With seamless integration into Azure OpenAI services and GPT models, GEP’s generative AI chatbot delivers document summaries and risk management insights to its customers.

How Confluent Fuels Gen AI Chat Models with Real-Time Data

Discover how GEP, an AI-powered procurement company, utilized Confluent's data streaming platform to transform its generative AI capabilities. Integrating real-time data into their AI models enabled GEP to provide a contextual chat-based service. This chatbot allowed GEP customers to build their own tools simply by communicating in English with a chatbot.

Overcoming Test Automation Pitfalls: Lessons from Real-World Failures

In today’s fast-paced software development world, automation promises speed, efficiency, and accuracy. However, teams often face several obstacles as they move towards building a successful test automation practice. From choosing the right tools to maintaining scalability, the path can be filled with costly pitfalls if not navigated strategically. In this thought leader discussion, industry veterans Ravi and Ram share insights from decades of experience, covering real-world examples of test automation gone wrong and offering expert advice on how to overcome these challenges.

insightsoftware EPM

CFOs face the continual challenge of making sense of ever-increasing volumes of complex financial data. Enterprise performance management software, commonly known as EPM, is the solution. Traditionally, CFOs have faced a tough choice: an all-in-one EPM solution with limited functionality, or a best-of-breed approach that's complex to integrate. insightsoftware EPM offers the best of both worlds. The insightsoftware Platform supports comprehensive connected applications for planning, closing, disclosing, and analyzing, all working from the same consistent view of data.